Diffusion charging of aerosol nanoparticles with an excess of bipoloar ions

Alonso, M.; Hernández-Sierra, A.

doi:10.1088/0305-4470/35/30/305

Cited by 10 publications

(3 citation statements)

References 25 publications

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“…The bipolar charge distribution can be directly calculated as a function of particle size if the collision rate coefficients between particles and ions are known a priori (Marlow and Brock 1975;Adachi et al 1985;Alonso et al 2002). Particleion collision rate coefficients are dependent upon particle size and shape, ion mass and (electrical) mobility, and particle material properties, i.e., the collision rate coefficients are dependent upon the physics governing ion motion about a particle.…”

Section: Review Of Prior Bipolar Charge Distribution Predictions and mentioning

confidence: 99%

The Bipolar Diffusion Charging of Nanoparticles: A Review and Development of Approaches for Non-Spherical Particles

Gopalakrishnan

McMurry

Hogan

2015

Aerosol Science and Technology

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Theoretical and experimental analyses of the steady state, bipolar diffusion charge distribution on nanoparticles are reviewed. This charge distribution plays a critical role in electrical mobility measurements of nanoparticle size distribution functions, where it is approximated via empirical regression equations. While the regression approach has been broadly successful, there remain several unresolved issues related to charge distribution calculations. Specifically, research to date has not revealed a method to reliably calculate nanoparticle-ion collision rates in the presence of strong attractive potentials, charge distribution predictions do not routinely consider the mass and (electrical) mobility distributions of the charging ions, and calculation approaches applicable to both spherical and nonspherical particles have not been compared to experimental data. In light of these issues, we examine the steady-state bipolar charge distribution on gold nanospheres and gold nanorods via tandem differential mobility analysis (TDMA). We compare measurements to regression equations as well as to Brownian Dynamics (BD) simulations, which take ion mobility and mass distributions as inputs. These distributions were measured using a DMA coupled to a mass spectrometer. Both regression equations and BD simulations are found to agree reasonably well with measurements in air, and we find that particle mobility diameter has a much greater influence on charging than particle morphology. Results support the use of BD calculations to predict bipolar charge distributions when ion properties are known. Nevertheless, our work supports continued use of regression equations when such information is not available.

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Section: Review Of Prior Bipolar Charge Distribution Predictions and mentioning

confidence: 99%

The Bipolar Diffusion Charging of Nanoparticles: A Review and Development of Approaches for Non-Spherical Particles

Gopalakrishnan

McMurry

Hogan

2015

Aerosol Science and Technology

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“…62·10 -8 Hoppel and Frick (1986) 1.20·10 -4 150 3.03·10 -6 203.3 1. 44·10 -8 Hoppel and Frick (1990), Reischl et al (1996) 1.33·10 -4 200 3.36·10 -6 176.1 1.63·10 -8 Wiedensohler and Fissan (1991) 1.40·10 -4 140 3.54·10 -6 210.5 1.67·10 -8 Alonso et al (1997), Alonso et al (2002) 1.15·10 -4 150 2.91·10 -6 203.3 1.38·10 -8 Alguacil and Alonso (2006) 1.10·10 -4 200 2.78·10 -6 176.1…”

Section: Governing Equations For Unipolar Diffusionmentioning

confidence: 99%

“…These are listed in Table 1 together with the correspondent values of D i , c i , and λ i calculated with the equations above. The scatter of the values shows the variability of the physical properties with the age of the ions and the nature of the trace compounds present in the air (Reischl et al 1996;Alonso et al 2002). In this work, we assumed the values of Z i and m i reported by three different authors: Adachi et al (1985), Wiedensohler et al (1986), and Alguacil and Alonso (2006).…”

Section: Governing Equations For Unipolar Diffusionmentioning

confidence: 99%